4 citations · 6 across the 7 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
cs.CL2026
A Reranker for Orchestrating Heterogeneous Speech and Text Retrievers
Inho Kim, Sumyeong Ahn
Retrieval-Augmented Generation (RAG) systems have attracted significant interest for their ability to mitigate hallucinations in Large Language Models (LLMs). Although knowledge da…
cs.CL2026
Where Does Robustness Live? Neuron-Guided Adaptation for Retrieval-Augmented Language Models
Jae O Lee, Jaemin Kim, Sumyeong Ahn +1
Retrieval-Augmented Language Models (RALMs) have shown strong potential in knowledge-intensive tasks, yet they remain vulnerable when retrieved contexts are noisy or irrelevant. Ro…